According to DB-Engines’ July results, InfluxDB continues its unquestioned lead, outpacing the competition with its popularity increasing more than 44 percent over the past 12 months and more than 160 percent over the past two years. InfluxDB is InfluxData’s Time Series Database used as a data store for any use case involving large amounts of timestamped data – including DevOps monitoring, application metrics, IoT sensor data, and real-time analytics. The DB-Engines results included rankings of the leading vendors in the Time Series Database category, with InfluxDB’s user popularity ranking more than three times more than the nearest competitor.

DB-Engines is an initiative to collect and present information on database management systems (DBMS). DB-Engines also ranked the overall Time Series Database Management System category, which continues to grow in popularity with a 33 percent year-over-year increase, and a more than 100 percent two-year increase. Overall, InfluxDB continues to show strong popularity among all databases ranked, maintaining its ranking of number 36.

“Today’s IoT and DevOps metric workloads are unique and are best served by a time series database for collection and analysis, instead of a traditional database,” said Mark Herring, InfluxData CMO. “Growth in the time series database segment is proof that users are turning to these databases to collect and store data that shows metrics and events for IoT sensors, DevOps monitoring, and real-time analytics. Purpose-built time series databases are more efficient and work well for today’s workloads – other databases require a lot of overhead to get them to handle this data.”

Metrics, events, and other time-based data are being generated at an exponential rate, as there is a growing requirement for analyzing today’s complex environments. The InfluxData Platform provides a comprehensive set of tools and services to accumulate metrics and events data, analyze the data, and act on the data via powerful visualizations and notifications. InfluxData’s unique features enable customers to quickly build:

IoT applications supporting millions of events per second, providing new business value around predictive maintenance and real-time alerting and control

Real-time analytics applications that are focused on streaming data and anomaly detection

InfluxData has rapidly built its developer and customer base across industries – including manufacturing, financial services, energy, and telecommunications – by delivering the fastest growing Open Source Platform that enables customers to derive better business insights, data-driven real-time actions, and a consolidated single view of their entire infrastructure – from applications to microservices, and from systems to sensors. More than 420 customers, including Cisco Systems, Coupa Software, IBM, Houghton Mifflin Harcourt, Nordstrom, and Tesla, have selected InfluxData as their modern data platform for metrics and events. InfluxData is pioneering the shift to time series in a modern metrics and events platform, and is making it possible for customers to become data-driven and take on digital transformation initiatives.

About InfluxData

InfluxData, the creator of InfluxDB, delivers a modern Open Source Platform built from the ground up for analyzing metrics and events (time series data) for DevOps and IoT applications. Whether the data comes from humans, sensors, or machines, InfluxData empowers developers to build next-generation monitoring, analytics, and IoT applications faster, easier, and to scale delivering real business value quickly. Based in San Francisco, InfluxData’s more than 420 customers include Cisco, eBay, IBM and Siemens.